CVE-2022-41900High· 7.1▾ TwilightFractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 39.1 · likelihood 0.1 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.6%
0.6% → 0.6%
An input pooling_ratio that is smaller than 1 will trigger a heap OOB in tf.raw_ops.FractionalMaxPool and tf.raw_ops.FractionalAvgPool.
We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48.
The fix will be included in TensorFlow 2.11.0. We will also cherry pick this commit on TensorFlow 2.10.1.
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tensorflow < 2.8.4tensorflow >= 2.9.0, < 2.9.3tensorflow >= 2.10.0, < 2.10.1tensorflow-cpu < 2.8.4tensorflow-gpu < 2.8.4tensorflow-cpu >= 2.9.0, < 2.9.3tensorflow-gpu >= 2.9.0, < 2.9.3tensorflow-cpu >= 2.10.0, < 2.10.1tensorflow-gpu >= 2.10.0, < 2.10.1Upgrade to a patched release:
tensorflow 2.8.4tensorflow 2.9.3tensorflow 2.10.1tensorflow-cpu 2.8.4tensorflow-gpu 2.8.4tensorflow-cpu 2.9.3tensorflow-gpu 2.9.3tensorflow-cpu 2.10.1tensorflow-gpu 2.10.1Connected by shared product, vendor, weakness, or advisory.
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